Privacy-preserving cloud computing on sensitive data: A survey of methods, products and challenges
J Domingo-Ferrer, O Farras, J Ribes-González… - Computer …, 2019 - Elsevier
The increasing volume of personal and sensitive data being harvested by data controllers
makes it increasingly necessary to use the cloud not just to store the data, but also to …
makes it increasingly necessary to use the cloud not just to store the data, but also to …
[Retracted] The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges—A Systematic Literature Review (SLR)
J Hassan, D Shehzad, U Habib… - Computational …, 2022 - Wiley Online Library
Cloud computing is a long‐standing dream of computing as a utility, where users can store
their data remotely in the cloud to enjoy on‐demand services and high‐quality applications …
their data remotely in the cloud to enjoy on‐demand services and high‐quality applications …
[图书][B] Database anonymization: privacy models, data utility, and microaggregation-based inter-model connections
The current social and economic context increasingly demands open data to improve
scientific research and decision making. However, when published data refer to individual …
scientific research and decision making. However, when published data refer to individual …
A semantic similarity method based on information content exploiting multiple ontologies
The quantification of the semantic similarity between terms is an important research area
that configures a valuable tool for text understanding. Among the different paradigms used …
that configures a valuable tool for text understanding. Among the different paradigms used …
[HTML][HTML] A semantic framework to protect the privacy of electronic health records with non-numerical attributes
Structured patient data like Electronic Health Records (EHRs) are a valuable source for
clinical research. However, the sensitive nature of such information requires some …
clinical research. However, the sensitive nature of such information requires some …
Automatic general-purpose sanitization of textual documents
The advent of new information sharing technologies has led society to a scenario where
thousands of textual documents are publicly published every day. The existence of …
thousands of textual documents are publicly published every day. The existence of …
Utility-preserving privacy protection of nominal data sets via semantic rank swapping
Personal data are of great interest for research but, at the same time, they pose a serious
privacy risk. Therefore, appropriate data protection measures should be undertaken by the …
privacy risk. Therefore, appropriate data protection measures should be undertaken by the …
Anonymization of nominal data based on semantic marginality
Nominal attributes are very common in data sets about individuals, specifically medical data
like patient healthcare records. Attributes of this type tend to be sensitive due to their …
like patient healthcare records. Attributes of this type tend to be sensitive due to their …
Detecting sensitive information from textual documents: an information-theoretic approach
Whenever a document containing sensitive information needs to be made public, privacy-
preserving measures should be implemented. Document sanitization aims at detecting …
preserving measures should be implemented. Document sanitization aims at detecting …
Taxonomy-based information content and wordnet-wiktionary-wikipedia glosses for semantic relatedness
Computing the semantic similarity/relatedness between terms is an important research area
for several disciplines, including artificial intelligence, cognitive science, linguistics …
for several disciplines, including artificial intelligence, cognitive science, linguistics …